Python Langchain Tutorial: Use 3 Different LLMs in 10 Mins

Learn how to easily switch between LLMs in Langchain for your Python applications: OpenAI's GPT-4, Amazon Bedrock (Claude V2), and Google Gemini Pro. Or if none of these suit your needs, you can also implement your own interface. 📚 Chapters 00:00 Introduction 01:43 Getting Started 03:18 Creating the Base App 05:33 How To Use OpenAI GPT-4 07:42 How To Use Claude/Llama2 (via AWS) 09:33 How To Use Google Gemini Pro 10:27 Custom LLMs 👉 Links 🔗 Code: https://github.com/pixegami/langchain-custom-llms 🔗 Langchain LLMs: https://python.langchain.com/docs/integrations/llms 🔗 Custom LLM: https://python.langchain.com/docs/modules/model_io/llms/custom_llm 🔗 AWS Bedrock: https://aws.amazon.com/bedrock 🔗 Google AI API: https://makersuite.google.com/app/apikey 🔗 How to Get Started with AWS: https://youtu.be/LFCTFzcMQuA